---
_id: '27094'
author:
- first_name: Carsten
full_name: Wiecher, Carsten
last_name: Wiecher
- first_name: Joel
full_name: Greenyer, Joel
last_name: Greenyer
- first_name: Carsten
full_name: Wolff, Carsten
last_name: Wolff
- first_name: Harald
full_name: Anacker, Harald
last_name: Anacker
- first_name: Roman
full_name: Dumitrescu, Roman
id: '16190'
last_name: Dumitrescu
citation:
ama: 'Wiecher C, Greenyer J, Wolff C, Anacker H, Dumitrescu R. Iterative and Scenario-Based
Requirements Specification in a System of Systems Context. In: Dalpiaz F, Spoletini
P, eds. Requirements Engineering: Foundation for Software Quality, REFSQ 2021.
Springer Nature Switzerland AG; 2021.'
apa: 'Wiecher, C., Greenyer, J., Wolff, C., Anacker, H., & Dumitrescu, R. (2021).
Iterative and Scenario-Based Requirements Specification in a System of Systems
Context. In F. Dalpiaz & P. Spoletini (Eds.), Requirements Engineering:
Foundation for Software Quality, REFSQ 2021. Springer Nature Switzerland AG.'
bibtex: '@inproceedings{Wiecher_Greenyer_Wolff_Anacker_Dumitrescu_2021, place={
Cham, Switzerland}, title={Iterative and Scenario-Based Requirements Specification
in a System of Systems Context}, booktitle={Requirements Engineering: Foundation
for Software Quality, REFSQ 2021}, publisher={Springer Nature Switzerland AG},
author={Wiecher, Carsten and Greenyer, Joel and Wolff, Carsten and Anacker, Harald
and Dumitrescu, Roman}, editor={Dalpiaz, Fabiano and Spoletini, Paola}, year={2021}
}'
chicago: 'Wiecher, Carsten, Joel Greenyer, Carsten Wolff, Harald Anacker, and Roman
Dumitrescu. “Iterative and Scenario-Based Requirements Specification in a System
of Systems Context.” In Requirements Engineering: Foundation for Software Quality,
REFSQ 2021, edited by Fabiano Dalpiaz and Paola Spoletini. Cham, Switzerland:
Springer Nature Switzerland AG, 2021.'
ieee: 'C. Wiecher, J. Greenyer, C. Wolff, H. Anacker, and R. Dumitrescu, “Iterative
and Scenario-Based Requirements Specification in a System of Systems Context,”
in Requirements Engineering: Foundation for Software Quality, REFSQ 2021,
Essen, 2021.'
mla: 'Wiecher, Carsten, et al. “Iterative and Scenario-Based Requirements Specification
in a System of Systems Context.” Requirements Engineering: Foundation for Software
Quality, REFSQ 2021, edited by Fabiano Dalpiaz and Paola Spoletini, Springer
Nature Switzerland AG, 2021.'
short: 'C. Wiecher, J. Greenyer, C. Wolff, H. Anacker, R. Dumitrescu, in: F. Dalpiaz,
P. Spoletini (Eds.), Requirements Engineering: Foundation for Software Quality,
REFSQ 2021, Springer Nature Switzerland AG, Cham, Switzerland, 2021.'
conference:
end_date: 2021-04-15
location: Essen
name: 27th International Working Conference
start_date: 2021-04-12
date_created: 2021-11-03T09:52:34Z
date_updated: 2022-01-06T06:57:33Z
department:
- _id: '563'
- _id: '26'
editor:
- first_name: Fabiano
full_name: Dalpiaz, Fabiano
last_name: Dalpiaz
- first_name: Paola
full_name: Spoletini, Paola
last_name: Spoletini
language:
- iso: eng
place: ' Cham, Switzerland'
publication: 'Requirements Engineering: Foundation for Software Quality, REFSQ 2021'
publication_status: published
publisher: Springer Nature Switzerland AG
status: public
title: Iterative and Scenario-Based Requirements Specification in a System of Systems
Context
type: conference
user_id: '14931'
year: '2021'
...
---
_id: '27139'
author:
- first_name: Marc
full_name: Foullois, Marc
last_name: Foullois
- first_name: Anna-Lena
full_name: Kato-Beiderwieden, Anna-Lena
last_name: Kato-Beiderwieden
- first_name: Lisa
full_name: Mlekus, Lisa
last_name: Mlekus
- first_name: Günter W.
full_name: Maier, Günter W.
last_name: Maier
- first_name: Sascha
full_name: Jenderny, Sascha
last_name: Jenderny
- first_name: Carsten
full_name: Röcker, Carsten
last_name: Röcker
- first_name: Oliver
full_name: Dietz, Oliver
last_name: Dietz
- first_name: Matthias
full_name: Pretzlaff, Matthias
last_name: Pretzlaff
- first_name: Oliver
full_name: Huxdorf, Oliver
last_name: Huxdorf
- first_name: Friedrich
full_name: von Dungern, Friedrich
last_name: von Dungern
- first_name: Dieter
full_name: Bräutigam, Dieter
last_name: Bräutigam
- first_name: Lars
full_name: Seifert, Lars
last_name: Seifert
- first_name: Roman
full_name: Dumitrescu, Roman
id: '16190'
last_name: Dumitrescu
citation:
ama: 'Foullois M, Kato-Beiderwieden A-L, Mlekus L, et al. Arbeit 4.0 in der Produktentstehung
mit IviPep. In: Bauer W, Mütze-Niewöhner S, Stowasser S, Zanker C, Müller N, eds.
Arbeit in der digitalisierten Welt - Praxisbeispiele und Gestaltungslösungen
aus dem BMBF-Förderschwerpunkt. Springer Vieweg, Berlin, Heidelberg; 2021:239-255.'
apa: Foullois, M., Kato-Beiderwieden, A.-L., Mlekus, L., Maier, G. W., Jenderny,
S., Röcker, C., Dietz, O., Pretzlaff, M., Huxdorf, O., von Dungern, F., Bräutigam,
D., Seifert, L., & Dumitrescu, R. (2021). Arbeit 4.0 in der Produktentstehung
mit IviPep. In W. Bauer, S. Mütze-Niewöhner, S. Stowasser, C. Zanker, & N.
Müller (Eds.), Arbeit in der digitalisierten Welt - Praxisbeispiele und Gestaltungslösungen
aus dem BMBF-Förderschwerpunkt (pp. 239–255). Springer Vieweg, Berlin, Heidelberg.
bibtex: '@inbook{Foullois_Kato-Beiderwieden_Mlekus_Maier_Jenderny_Röcker_Dietz_Pretzlaff_Huxdorf_von
Dungern_et al._2021, title={Arbeit 4.0 in der Produktentstehung mit IviPep}, booktitle={Arbeit
in der digitalisierten Welt - Praxisbeispiele und Gestaltungslösungen aus dem
BMBF-Förderschwerpunkt}, publisher={Springer Vieweg, Berlin, Heidelberg}, author={Foullois,
Marc and Kato-Beiderwieden, Anna-Lena and Mlekus, Lisa and Maier, Günter W. and
Jenderny, Sascha and Röcker, Carsten and Dietz, Oliver and Pretzlaff, Matthias
and Huxdorf, Oliver and von Dungern, Friedrich and et al.}, editor={Bauer, Wilhelm
and Mütze-Niewöhner, Susanne and Stowasser, Sascha and Zanker, Claus and Müller,
Nadine}, year={2021}, pages={239–255} }'
chicago: Foullois, Marc, Anna-Lena Kato-Beiderwieden, Lisa Mlekus, Günter W. Maier,
Sascha Jenderny, Carsten Röcker, Oliver Dietz, et al. “Arbeit 4.0 in der Produktentstehung
mit IviPep.” In Arbeit in der digitalisierten Welt - Praxisbeispiele und Gestaltungslösungen
aus dem BMBF-Förderschwerpunkt, edited by Wilhelm Bauer, Susanne Mütze-Niewöhner,
Sascha Stowasser, Claus Zanker, and Nadine Müller, 239–55. Springer Vieweg, Berlin,
Heidelberg, 2021.
ieee: M. Foullois et al., “Arbeit 4.0 in der Produktentstehung mit IviPep,”
in Arbeit in der digitalisierten Welt - Praxisbeispiele und Gestaltungslösungen
aus dem BMBF-Förderschwerpunkt, W. Bauer, S. Mütze-Niewöhner, S. Stowasser,
C. Zanker, and N. Müller, Eds. Springer Vieweg, Berlin, Heidelberg, 2021, pp.
239–255.
mla: Foullois, Marc, et al. “Arbeit 4.0 in der Produktentstehung mit IviPep.” Arbeit
in der digitalisierten Welt - Praxisbeispiele und Gestaltungslösungen aus dem
BMBF-Förderschwerpunkt, edited by Wilhelm Bauer et al., Springer Vieweg, Berlin,
Heidelberg, 2021, pp. 239–55.
short: 'M. Foullois, A.-L. Kato-Beiderwieden, L. Mlekus, G.W. Maier, S. Jenderny,
C. Röcker, O. Dietz, M. Pretzlaff, O. Huxdorf, F. von Dungern, D. Bräutigam, L.
Seifert, R. Dumitrescu, in: W. Bauer, S. Mütze-Niewöhner, S. Stowasser, C. Zanker,
N. Müller (Eds.), Arbeit in der digitalisierten Welt - Praxisbeispiele und Gestaltungslösungen
aus dem BMBF-Förderschwerpunkt, Springer Vieweg, Berlin, Heidelberg, 2021, pp.
239–255.'
date_created: 2021-11-04T08:15:18Z
date_updated: 2022-01-06T06:57:35Z
department:
- _id: '563'
editor:
- first_name: Wilhelm
full_name: Bauer, Wilhelm
last_name: Bauer
- first_name: Susanne
full_name: Mütze-Niewöhner, Susanne
last_name: Mütze-Niewöhner
- first_name: Sascha
full_name: Stowasser, Sascha
last_name: Stowasser
- first_name: Claus
full_name: Zanker, Claus
last_name: Zanker
- first_name: Nadine
full_name: Müller, Nadine
last_name: Müller
language:
- iso: ger
page: 239-255
publication: Arbeit in der digitalisierten Welt - Praxisbeispiele und Gestaltungslösungen
aus dem BMBF-Förderschwerpunkt
publication_status: published
publisher: Springer Vieweg, Berlin, Heidelberg
status: public
title: Arbeit 4.0 in der Produktentstehung mit IviPep
type: book_chapter
user_id: '15782'
year: '2021'
...
---
_id: '27140'
abstract:
- lang: eng
text: 'Hardly any other area has as much disruptive potential as digital platforms
in the course of digitalization. After serious changes have already taken place
in the B2C sector with platforms such as Amazon and Airbnb, the B2B sector is
on the threshold to the so-called platform economy. In mechanical engineering,
pioneers like GE (PREDIX) and Claas (365FarmNet) are trying to get their hands
on the act. This is hardly a promising option for small and medium-sized companies,
as only a few large companies will survive. Small and medium-sized enterprises
(SMEs) are already facing the threat of losing direct consumer contact and becoming
exchangeable executers. In order to prevent this, it is important to anticipate
at an early stage which strategic options exist for the future platform economy
and which adjustments to the product program should already be initiated today.
Basically, medium-sized companies in particular lack a strategy for an advantageous
entry into the future platform economy. The paper presents different approaches
to master the challenges of participating in the platform economy by using platform
patterns. Platform patterns represent proven principles of already existing platforms.
We show how we derived a catalogue with 37 identified platform patterns. The catalogue
has a generic design and can be customized for a specific use case. The versatility
of the catalogue is underlined by three possible applications: (1) platform ideation,
(2) platform development, and (3) platform characterization.'
author:
- first_name: Marvin
full_name: Drewel, Marvin
last_name: Drewel
- first_name: Leon
full_name: Özcan, Leon
id: '45137'
last_name: Özcan
- first_name: Jürgen
full_name: Gausemeier, Jürgen
id: '163'
last_name: Gausemeier
- first_name: Roman
full_name: Dumitrescu, Roman
id: '16190'
last_name: Dumitrescu
citation:
ama: 'Drewel M, Özcan L, Gausemeier J, Dumitrescu R. Platform Patterns - Using Proven
Principles to Develop Digital Platforms. In: Carayannis EG, ed. Journal of
the Knowledge Economy. Vol Volume 12. Springer; 2021:519-543. doi:10.1007/s13132-021-00772-3'
apa: 'Drewel, M., Özcan, L., Gausemeier, J., & Dumitrescu, R. (2021). Platform
Patterns - Using Proven Principles to Develop Digital Platforms. In E. G. Carayannis
(Ed.), Journal of the Knowledge Economy: Vol. Volume 12 (pp. 519–543).
Springer. https://doi.org/10.1007/s13132-021-00772-3'
bibtex: '@inproceedings{Drewel_Özcan_Gausemeier_Dumitrescu_2021, title={Platform
Patterns - Using Proven Principles to Develop Digital Platforms}, volume={Volume
12}, DOI={10.1007/s13132-021-00772-3},
booktitle={Journal of the Knowledge Economy}, publisher={Springer}, author={Drewel,
Marvin and Özcan, Leon and Gausemeier, Jürgen and Dumitrescu, Roman}, editor={Carayannis,
Elias G. }, year={2021}, pages={519–543} }'
chicago: Drewel, Marvin, Leon Özcan, Jürgen Gausemeier, and Roman Dumitrescu. “Platform
Patterns - Using Proven Principles to Develop Digital Platforms.” In Journal
of the Knowledge Economy, edited by Elias G. Carayannis, Volume 12:519–43.
Springer, 2021. https://doi.org/10.1007/s13132-021-00772-3.
ieee: 'M. Drewel, L. Özcan, J. Gausemeier, and R. Dumitrescu, “Platform Patterns
- Using Proven Principles to Develop Digital Platforms,” in Journal of the
Knowledge Economy, 2021, vol. Volume 12, pp. 519–543, doi: 10.1007/s13132-021-00772-3.'
mla: Drewel, Marvin, et al. “Platform Patterns - Using Proven Principles to Develop
Digital Platforms.” Journal of the Knowledge Economy, edited by Elias G. Carayannis,
vol. Volume 12, Springer, 2021, pp. 519–43, doi:10.1007/s13132-021-00772-3.
short: 'M. Drewel, L. Özcan, J. Gausemeier, R. Dumitrescu, in: E.G. Carayannis (Ed.),
Journal of the Knowledge Economy, Springer, 2021, pp. 519–543.'
date_created: 2021-11-04T08:17:35Z
date_updated: 2022-01-06T06:57:35Z
department:
- _id: '563'
doi: 10.1007/s13132-021-00772-3
editor:
- first_name: 'Elias G. '
full_name: 'Carayannis, Elias G. '
last_name: Carayannis
keyword:
- Digitalization
- Digital platforms
- Platform economy
- Multisided markets
- B2B platforms
language:
- iso: eng
page: 519-543
publication: Journal of the Knowledge Economy
publication_status: published
publisher: Springer
status: public
title: Platform Patterns - Using Proven Principles to Develop Digital Platforms
type: conference
user_id: '15782'
volume: Volume 12
year: '2021'
...
---
_id: '27141'
author:
- first_name: Rik
full_name: Rasor, Rik
last_name: Rasor
- first_name: Denis
full_name: Göllner, Denis
last_name: Göllner
- first_name: Ruslan
full_name: Bernijazov, Ruslan
last_name: Bernijazov
- first_name: Lydia
full_name: Kaiser, Lydia
last_name: Kaiser
- first_name: Roman
full_name: Dumitrescu, Roman
id: '16190'
last_name: Dumitrescu
citation:
ama: 'Rasor R, Göllner D, Bernijazov R, Kaiser L, Dumitrescu R. Towards collaborative
life cycle specification of digital twins in manufacturing value chains. In: Procedia
CIRP. Vol 98. Elsevier; 2021:229-234.'
apa: Rasor, R., Göllner, D., Bernijazov, R., Kaiser, L., & Dumitrescu, R. (2021).
Towards collaborative life cycle specification of digital twins in manufacturing
value chains. Procedia CIRP, 98, 229–234.
bibtex: '@inproceedings{Rasor_Göllner_Bernijazov_Kaiser_Dumitrescu_2021, title={Towards
collaborative life cycle specification of digital twins in manufacturing value
chains}, volume={98}, booktitle={Procedia CIRP}, publisher={Elsevier}, author={Rasor,
Rik and Göllner, Denis and Bernijazov, Ruslan and Kaiser, Lydia and Dumitrescu,
Roman}, year={2021}, pages={229–234} }'
chicago: Rasor, Rik, Denis Göllner, Ruslan Bernijazov, Lydia Kaiser, and Roman Dumitrescu.
“Towards Collaborative Life Cycle Specification of Digital Twins in Manufacturing
Value Chains.” In Procedia CIRP, 98:229–34. Elsevier, 2021.
ieee: R. Rasor, D. Göllner, R. Bernijazov, L. Kaiser, and R. Dumitrescu, “Towards
collaborative life cycle specification of digital twins in manufacturing value
chains,” in Procedia CIRP, 2021, vol. 98, pp. 229–234.
mla: Rasor, Rik, et al. “Towards Collaborative Life Cycle Specification of Digital
Twins in Manufacturing Value Chains.” Procedia CIRP, vol. 98, Elsevier,
2021, pp. 229–34.
short: 'R. Rasor, D. Göllner, R. Bernijazov, L. Kaiser, R. Dumitrescu, in: Procedia
CIRP, Elsevier, 2021, pp. 229–234.'
date_created: 2021-11-04T08:18:09Z
date_updated: 2022-01-06T06:57:35Z
department:
- _id: '563'
intvolume: ' 98'
language:
- iso: eng
page: 229-234
publication: Procedia CIRP
publication_status: published
publisher: Elsevier
status: public
title: Towards collaborative life cycle specification of digital twins in manufacturing
value chains
type: conference
user_id: '15782'
volume: 98
year: '2021'
...
---
_id: '27142'
author:
- first_name: Laban
full_name: Asmar, Laban
last_name: Asmar
- first_name: Khoren
full_name: Grigoryan, Khoren
last_name: Grigoryan
- first_name: Cheng Yee
full_name: Low, Cheng Yee
last_name: Low
- first_name: Daniel
full_name: Röltgen, Daniel
last_name: Röltgen
- first_name: Arno
full_name: Kühn, Arno
last_name: Kühn
- first_name: Roman
full_name: Dumitrescu, Roman
last_name: Dumitrescu
citation:
ama: 'Asmar L, Grigoryan K, Low CY, Röltgen D, Kühn A, Dumitrescu R. Structuring
Framework for Early Validation of Product Ideas. In: International Journal
of Integrated Engineering . Vol 13. ; 2021:229-240.'
apa: Asmar, L., Grigoryan, K., Low, C. Y., Röltgen, D., Kühn, A., & Dumitrescu,
R. (2021). Structuring Framework for Early Validation of Product Ideas. International
Journal of Integrated Engineering , 13(2), 229–240.
bibtex: '@inproceedings{Asmar_Grigoryan_Low_Röltgen_Kühn_Dumitrescu_2021, title={Structuring
Framework for Early Validation of Product Ideas}, volume={13}, number={2}, booktitle={International
Journal of Integrated Engineering }, author={Asmar, Laban and Grigoryan, Khoren
and Low, Cheng Yee and Röltgen, Daniel and Kühn, Arno and Dumitrescu, Roman},
year={2021}, pages={229–240} }'
chicago: Asmar, Laban, Khoren Grigoryan, Cheng Yee Low, Daniel Röltgen, Arno Kühn,
and Roman Dumitrescu. “Structuring Framework for Early Validation of Product Ideas.”
In International Journal of Integrated Engineering , 13:229–40, 2021.
ieee: L. Asmar, K. Grigoryan, C. Y. Low, D. Röltgen, A. Kühn, and R. Dumitrescu,
“Structuring Framework for Early Validation of Product Ideas,” in International
Journal of Integrated Engineering , 2021, vol. 13, no. 2, pp. 229–240.
mla: Asmar, Laban, et al. “Structuring Framework for Early Validation of Product
Ideas.” International Journal of Integrated Engineering , vol. 13, no.
2, 2021, pp. 229–40.
short: 'L. Asmar, K. Grigoryan, C.Y. Low, D. Röltgen, A. Kühn, R. Dumitrescu, in:
International Journal of Integrated Engineering , 2021, pp. 229–240.'
date_created: 2021-11-04T08:21:08Z
date_updated: 2022-01-06T06:57:35Z
department:
- _id: '563'
intvolume: ' 13'
issue: '2'
language:
- iso: eng
page: 229-240
publication: 'International Journal of Integrated Engineering '
publication_status: published
status: public
title: Structuring Framework for Early Validation of Product Ideas
type: conference
user_id: '15782'
volume: 13
year: '2021'
...
---
_id: '27158'
author:
- first_name: Linghui
full_name: Luo, Linghui
last_name: Luo
citation:
ama: Luo L. Improving Real-World Applicability of Static Taint Analysis.
Universität Paderborn; 2021.
apa: Luo, L. (2021). Improving Real-World Applicability of Static Taint Analysis.
Universität Paderborn.
bibtex: '@book{Luo_2021, title={Improving Real-World Applicability of Static Taint
Analysis}, publisher={Universität Paderborn}, author={Luo, Linghui}, year={2021}
}'
chicago: Luo, Linghui. Improving Real-World Applicability of Static Taint Analysis.
Universität Paderborn, 2021.
ieee: L. Luo, Improving Real-World Applicability of Static Taint Analysis.
Universität Paderborn, 2021.
mla: Luo, Linghui. Improving Real-World Applicability of Static Taint Analysis.
Universität Paderborn, 2021.
short: L. Luo, Improving Real-World Applicability of Static Taint Analysis, Universität
Paderborn, 2021.
date_created: 2021-11-04T13:58:35Z
date_updated: 2022-01-06T06:57:35Z
department:
- _id: '76'
language:
- iso: eng
publisher: Universität Paderborn
related_material:
link:
- relation: confirmation
url: https://www.bodden.de/pubs/phdLuo.pdf
status: public
title: Improving Real-World Applicability of Static Taint Analysis
type: dissertation
user_id: '15249'
year: '2021'
...
---
_id: '27418'
author:
- first_name: Nils
full_name: Weidmann, Nils
id: '53103'
last_name: Weidmann
- first_name: Anthony
full_name: Anjorin, Anthony
last_name: Anjorin
citation:
ama: 'Weidmann N, Anjorin A. eMoflon: : Neo - Consistency and Model Management with
Graph Databases. In: Iovino L, Michael Kristensen L, eds. {STAF} 2021 Workshop
Proceedings: 9th International Workshop on Bidirectional Transformations, Joint
Workshop on Foundations and Practice of Visual Modeling and Data for Model-Driven
Engineering, International Workshop on {MDE} for Smart IoT Systems, 4th International
Workshop on (Meta)Modeling for Healthcare Systems, and 20th International Workshop
on {OCL} and Textual Modeling Co-Located with Software Technologies: Applications
and Foundations, Federation of Conferences {(STAF} 2021), Virtual Event / Bergen,
Norway, June 21-25, 2021. Vol 2999. {CEUR} Workshop Proceedings. CEUR-WS.org;
2021:54-64.'
apa: 'Weidmann, N., & Anjorin, A. (2021). eMoflon: : Neo - Consistency and Model
Management with Graph Databases. In L. Iovino & L. Michael Kristensen (Eds.),
{STAF} 2021 Workshop Proceedings: 9th International Workshop on Bidirectional
Transformations, Joint Workshop on Foundations and Practice of Visual Modeling
and Data for Model-Driven Engineering, International workshop on {MDE} for Smart
IoT Systems, 4th International Workshop on (Meta)Modeling for Healthcare Systems,
and 20th International Workshop on {OCL} and Textual Modeling co-located with
Software Technologies: Applications and Foundations, Federation of Conferences
{(STAF} 2021), Virtual Event / Bergen, Norway, June 21-25, 2021 (Vol. 2999,
pp. 54–64). CEUR-WS.org.'
bibtex: '@inproceedings{Weidmann_Anjorin_2021, series={{CEUR} Workshop Proceedings},
title={eMoflon: : Neo - Consistency and Model Management with Graph Databases},
volume={2999}, booktitle={{STAF} 2021 Workshop Proceedings: 9th International
Workshop on Bidirectional Transformations, Joint Workshop on Foundations and Practice
of Visual Modeling and Data for Model-Driven Engineering, International workshop
on {MDE} for Smart IoT Systems, 4th International Workshop on (Meta)Modeling for
Healthcare Systems, and 20th International Workshop on {OCL} and Textual Modeling
co-located with Software Technologies: Applications and Foundations, Federation
of Conferences {(STAF} 2021), Virtual Event / Bergen, Norway, June 21-25, 2021},
publisher={CEUR-WS.org}, author={Weidmann, Nils and Anjorin, Anthony}, editor={Iovino,
Ludovico and Michael Kristensen, Lars}, year={2021}, pages={54–64}, collection={{CEUR}
Workshop Proceedings} }'
chicago: 'Weidmann, Nils, and Anthony Anjorin. “EMoflon: : Neo - Consistency and
Model Management with Graph Databases.” In {STAF} 2021 Workshop Proceedings:
9th International Workshop on Bidirectional Transformations, Joint Workshop on
Foundations and Practice of Visual Modeling and Data for Model-Driven Engineering,
International Workshop on {MDE} for Smart IoT Systems, 4th International Workshop
on (Meta)Modeling for Healthcare Systems, and 20th International Workshop on {OCL}
and Textual Modeling Co-Located with Software Technologies: Applications and Foundations,
Federation of Conferences {(STAF} 2021), Virtual Event / Bergen, Norway, June
21-25, 2021, edited by Ludovico Iovino and Lars Michael Kristensen, 2999:54–64.
{CEUR} Workshop Proceedings. CEUR-WS.org, 2021.'
ieee: 'N. Weidmann and A. Anjorin, “eMoflon: : Neo - Consistency and Model Management
with Graph Databases,” in {STAF} 2021 Workshop Proceedings: 9th International
Workshop on Bidirectional Transformations, Joint Workshop on Foundations and Practice
of Visual Modeling and Data for Model-Driven Engineering, International workshop
on {MDE} for Smart IoT Systems, 4th International Workshop on (Meta)Modeling for
Healthcare Systems, and 20th International Workshop on {OCL} and Textual Modeling
co-located with Software Technologies: Applications and Foundations, Federation
of Conferences {(STAF} 2021), Virtual Event / Bergen, Norway, June 21-25, 2021,
2021, vol. 2999, pp. 54–64.'
mla: 'Weidmann, Nils, and Anthony Anjorin. “EMoflon: : Neo - Consistency and Model
Management with Graph Databases.” {STAF} 2021 Workshop Proceedings: 9th International
Workshop on Bidirectional Transformations, Joint Workshop on Foundations and Practice
of Visual Modeling and Data for Model-Driven Engineering, International Workshop
on {MDE} for Smart IoT Systems, 4th International Workshop on (Meta)Modeling for
Healthcare Systems, and 20th International Workshop on {OCL} and Textual Modeling
Co-Located with Software Technologies: Applications and Foundations, Federation
of Conferences {(STAF} 2021), Virtual Event / Bergen, Norway, June 21-25, 2021,
edited by Ludovico Iovino and Lars Michael Kristensen, vol. 2999, CEUR-WS.org,
2021, pp. 54–64.'
short: 'N. Weidmann, A. Anjorin, in: L. Iovino, L. Michael Kristensen (Eds.), {STAF}
2021 Workshop Proceedings: 9th International Workshop on Bidirectional Transformations,
Joint Workshop on Foundations and Practice of Visual Modeling and Data for Model-Driven
Engineering, International Workshop on {MDE} for Smart IoT Systems, 4th International
Workshop on (Meta)Modeling for Healthcare Systems, and 20th International Workshop
on {OCL} and Textual Modeling Co-Located with Software Technologies: Applications
and Foundations, Federation of Conferences {(STAF} 2021), Virtual Event / Bergen,
Norway, June 21-25, 2021, CEUR-WS.org, 2021, pp. 54–64.'
date_created: 2021-11-15T08:39:42Z
date_updated: 2022-01-06T06:57:39Z
department:
- _id: '28'
- _id: '66'
editor:
- first_name: Ludovico
full_name: Iovino, Ludovico
last_name: Iovino
- first_name: Lars
full_name: Michael Kristensen, Lars
last_name: Michael Kristensen
intvolume: ' 2999'
language:
- iso: eng
page: 54-64
publication: '{STAF} 2021 Workshop Proceedings: 9th International Workshop on Bidirectional
Transformations, Joint Workshop on Foundations and Practice of Visual Modeling and
Data for Model-Driven Engineering, International workshop on {MDE} for Smart IoT
Systems, 4th International Workshop on (Meta)Modeling for Healthcare Systems, and
20th International Workshop on {OCL} and Textual Modeling co-located with Software
Technologies: Applications and Foundations, Federation of Conferences {(STAF} 2021),
Virtual Event / Bergen, Norway, June 21-25, 2021'
publisher: CEUR-WS.org
series_title: '{CEUR} Workshop Proceedings'
status: public
title: 'eMoflon: : Neo - Consistency and Model Management with Graph Databases'
type: conference
user_id: '53103'
volume: 2999
year: '2021'
...
---
_id: '27494'
author:
- first_name: Sven
full_name: Hüsing, Sven
id: '58465'
last_name: Hüsing
citation:
ama: 'Hüsing S. Epistemic Programming - An insight-driven programming concept for
Data Science. In: Seppälä O, Petersen A, eds. Koli Calling ’21: 21st Koli Calling
International Conference on Computing Education Research, Joensuu, Finland, November
18 - 21, 2021. ACM; 2021:42:1-42:3. doi:10.1145/3488042.3490510'
apa: 'Hüsing, S. (2021). Epistemic Programming - An insight-driven programming concept
for Data Science. In O. Seppälä & A. Petersen (Eds.), Koli Calling ’21:
21st Koli Calling International Conference on Computing Education Research, Joensuu,
Finland, November 18 - 21, 2021 (p. 42:1-42:3). ACM. https://doi.org/10.1145/3488042.3490510'
bibtex: '@inproceedings{Hüsing_2021, title={Epistemic Programming - An insight-driven
programming concept for Data Science}, DOI={10.1145/3488042.3490510},
booktitle={Koli Calling ’21: 21st Koli Calling International Conference on Computing
Education Research, Joensuu, Finland, November 18 - 21, 2021}, publisher={ACM},
author={Hüsing, Sven}, editor={Seppälä, Otto and Petersen, Andrew}, year={2021},
pages={42:1-42:3} }'
chicago: 'Hüsing, Sven. “Epistemic Programming - An Insight-Driven Programming Concept
for Data Science.” In Koli Calling ’21: 21st Koli Calling International Conference
on Computing Education Research, Joensuu, Finland, November 18 - 21, 2021,
edited by Otto Seppälä and Andrew Petersen, 42:1-42:3. ACM, 2021. https://doi.org/10.1145/3488042.3490510.'
ieee: 'S. Hüsing, “Epistemic Programming - An insight-driven programming concept
for Data Science,” in Koli Calling ’21: 21st Koli Calling International Conference
on Computing Education Research, Joensuu, Finland, November 18 - 21, 2021,
2021, p. 42:1-42:3, doi: 10.1145/3488042.3490510.'
mla: 'Hüsing, Sven. “Epistemic Programming - An Insight-Driven Programming Concept
for Data Science.” Koli Calling ’21: 21st Koli Calling International Conference
on Computing Education Research, Joensuu, Finland, November 18 - 21, 2021,
edited by Otto Seppälä and Andrew Petersen, ACM, 2021, p. 42:1-42:3, doi:10.1145/3488042.3490510.'
short: 'S. Hüsing, in: O. Seppälä, A. Petersen (Eds.), Koli Calling ’21: 21st Koli
Calling International Conference on Computing Education Research, Joensuu, Finland,
November 18 - 21, 2021, ACM, 2021, p. 42:1-42:3.'
date_created: 2021-11-16T08:15:11Z
date_updated: 2022-01-06T06:57:40Z
department:
- _id: '67'
doi: 10.1145/3488042.3490510
editor:
- first_name: Otto
full_name: Seppälä, Otto
last_name: Seppälä
- first_name: Andrew
full_name: Petersen, Andrew
last_name: Petersen
language:
- iso: eng
page: 42:1-42:3
publication: 'Koli Calling ''21: 21st Koli Calling International Conference on Computing
Education Research, Joensuu, Finland, November 18 - 21, 2021'
publisher: ACM
status: public
title: Epistemic Programming - An insight-driven programming concept for Data Science
type: conference
user_id: '21145'
year: '2021'
...
---
_id: '27495'
author:
- first_name: Klaus
full_name: Bovermann, Klaus
last_name: Bovermann
- first_name: Yannik
full_name: Fleischer, Yannik
last_name: Fleischer
- first_name: Sven
full_name: Hüsing, Sven
id: '58465'
last_name: Hüsing
- first_name: Christian
full_name: Opitz, Christian
last_name: Opitz
citation:
ama: 'Bovermann K, Fleischer Y, Hüsing S, Opitz C. Künstliche Intelligenz und maschinelles
Lernen im Informatikunterricht der Sek. I mit Jupyter Notebooks und Python am
Beispiel von Entscheidungsbäumen und künstlichen neuronalen Netzen. In: Humbert
L, ed. 19. GI-Fachtagung Informatik und Schule, INFOS 2021, Wuppertal, Germany,
September 8-10, 2021. Vol P-313. LNI. Gesellschaft für Informatik, Bonn; 2021:319.
doi:10.18420/infos2021\_w283'
apa: 'Bovermann, K., Fleischer, Y., Hüsing, S., & Opitz, C. (2021). Künstliche
Intelligenz und maschinelles Lernen im Informatikunterricht der Sek. I mit Jupyter
Notebooks und Python am Beispiel von Entscheidungsbäumen und künstlichen neuronalen
Netzen. In L. Humbert (Ed.), 19. GI-Fachtagung Informatik und Schule, INFOS
2021, Wuppertal, Germany, September 8-10, 2021: Vol. P-313 (p. 319). Gesellschaft
für Informatik, Bonn. https://doi.org/10.18420/infos2021\_w283'
bibtex: '@inproceedings{Bovermann_Fleischer_Hüsing_Opitz_2021, series={LNI}, title={Künstliche
Intelligenz und maschinelles Lernen im Informatikunterricht der Sek. I mit Jupyter
Notebooks und Python am Beispiel von Entscheidungsbäumen und künstlichen neuronalen
Netzen}, volume={P-313}, DOI={10.18420/infos2021\_w283},
booktitle={19. GI-Fachtagung Informatik und Schule, INFOS 2021, Wuppertal, Germany,
September 8-10, 2021}, publisher={Gesellschaft für Informatik, Bonn}, author={Bovermann,
Klaus and Fleischer, Yannik and Hüsing, Sven and Opitz, Christian}, editor={Humbert,
Ludger}, year={2021}, pages={319}, collection={LNI} }'
chicago: Bovermann, Klaus, Yannik Fleischer, Sven Hüsing, and Christian Opitz. “Künstliche
Intelligenz und maschinelles Lernen im Informatikunterricht der Sek. I mit Jupyter
Notebooks und Python am Beispiel von Entscheidungsbäumen und künstlichen neuronalen
Netzen.” In 19. GI-Fachtagung Informatik und Schule, INFOS 2021, Wuppertal,
Germany, September 8-10, 2021, edited by Ludger Humbert, P-313:319. LNI. Gesellschaft
für Informatik, Bonn, 2021. https://doi.org/10.18420/infos2021\_w283.
ieee: 'K. Bovermann, Y. Fleischer, S. Hüsing, and C. Opitz, “Künstliche Intelligenz
und maschinelles Lernen im Informatikunterricht der Sek. I mit Jupyter Notebooks
und Python am Beispiel von Entscheidungsbäumen und künstlichen neuronalen Netzen,”
in 19. GI-Fachtagung Informatik und Schule, INFOS 2021, Wuppertal, Germany,
September 8-10, 2021, 2021, vol. P-313, p. 319, doi: 10.18420/infos2021\_w283.'
mla: Bovermann, Klaus, et al. “Künstliche Intelligenz und maschinelles Lernen im
Informatikunterricht der Sek. I mit Jupyter Notebooks und Python am Beispiel von
Entscheidungsbäumen und künstlichen neuronalen Netzen.” 19. GI-Fachtagung Informatik
und Schule, INFOS 2021, Wuppertal, Germany, September 8-10, 2021, edited by
Ludger Humbert, vol. P-313, Gesellschaft für Informatik, Bonn, 2021, p. 319, doi:10.18420/infos2021\_w283.
short: 'K. Bovermann, Y. Fleischer, S. Hüsing, C. Opitz, in: L. Humbert (Ed.), 19.
GI-Fachtagung Informatik und Schule, INFOS 2021, Wuppertal, Germany, September
8-10, 2021, Gesellschaft für Informatik, Bonn, 2021, p. 319.'
date_created: 2021-11-16T08:16:32Z
date_updated: 2022-01-06T06:57:40Z
department:
- _id: '67'
doi: 10.18420/infos2021\_w283
editor:
- first_name: Ludger
full_name: Humbert, Ludger
last_name: Humbert
language:
- iso: ger
page: '319'
publication: 19. GI-Fachtagung Informatik und Schule, INFOS 2021, Wuppertal, Germany,
September 8-10, 2021
publisher: Gesellschaft für Informatik, Bonn
series_title: LNI
status: public
title: Künstliche Intelligenz und maschinelles Lernen im Informatikunterricht der
Sek. I mit Jupyter Notebooks und Python am Beispiel von Entscheidungsbäumen und
künstlichen neuronalen Netzen
type: conference
user_id: '21145'
volume: P-313
year: '2021'
...
---
_id: '27503'
author:
- first_name: Asif
full_name: Hasnain, Asif
last_name: Hasnain
citation:
ama: Hasnain A. Automating Network Resource Allocation for Coflows with Deadlines.;
2021. doi:10.17619/UNIPB/1-1241
apa: Hasnain, A. (2021). Automating Network Resource Allocation for Coflows with
Deadlines. https://doi.org/10.17619/UNIPB/1-1241
bibtex: '@book{Hasnain_2021, title={Automating Network Resource Allocation for Coflows
with Deadlines}, DOI={10.17619/UNIPB/1-1241
}, author={Hasnain, Asif}, year={2021} }'
chicago: Hasnain, Asif. Automating Network Resource Allocation for Coflows with
Deadlines, 2021. https://doi.org/10.17619/UNIPB/1-1241
.
ieee: A. Hasnain, Automating Network Resource Allocation for Coflows with Deadlines.
2021.
mla: Hasnain, Asif. Automating Network Resource Allocation for Coflows with Deadlines.
2021, doi:10.17619/UNIPB/1-1241
.
short: A. Hasnain, Automating Network Resource Allocation for Coflows with Deadlines,
2021.
date_created: 2021-11-16T13:05:12Z
date_updated: 2022-01-06T06:57:40Z
department:
- _id: '75'
doi: '10.17619/UNIPB/1-1241 '
language:
- iso: eng
project:
- _id: '1'
name: SFB 901
- _id: '4'
name: SFB 901 - Project Area C
- _id: '16'
name: SFB 901 - Subproject C4
status: public
supervisor:
- first_name: Holger
full_name: Karl, Holger
last_name: Karl
title: Automating Network Resource Allocation for Coflows with Deadlines
type: dissertation
user_id: '15504'
year: '2021'
...
---
_id: '27504'
author:
- first_name: Dieter
full_name: Spath, Dieter
last_name: Spath
- first_name: Jürgen
full_name: Gausemeier, Jürgen
id: '163'
last_name: Gausemeier
- first_name: Roman
full_name: Dumitrescu, Roman
id: '16190'
last_name: Dumitrescu
- first_name: Johannes
full_name: Winter, Johannes
last_name: Winter
- first_name: Steffen
full_name: Steglich, Steffen
last_name: Steglich
- first_name: Marvin
full_name: Drewel, Marvin
last_name: Drewel
citation:
ama: 'Spath D, Gausemeier J, Dumitrescu R, Winter J, Steglich S, Drewel M. Digitalisation
of Society. In: Maier A, Oehmen J, Vermaas PE, eds. Handbook of Engineering
Systems Design. Springer, Cham; 2021:2-27.'
apa: Spath, D., Gausemeier, J., Dumitrescu, R., Winter, J., Steglich, S., &
Drewel, M. (2021). Digitalisation of Society. In A. Maier, J. Oehmen, & P.
E. Vermaas (Eds.), Handbook of Engineering Systems Design (pp. 2–27).
Springer, Cham.
bibtex: '@inbook{Spath_Gausemeier_Dumitrescu_Winter_Steglich_Drewel_2021, title={Digitalisation
of Society}, booktitle={ Handbook of Engineering Systems Design}, publisher={Springer,
Cham}, author={Spath, Dieter and Gausemeier, Jürgen and Dumitrescu, Roman and
Winter, Johannes and Steglich, Steffen and Drewel, Marvin}, editor={Maier, Anja
and Oehmen, Josef and Vermaas, Pieter E.}, year={2021}, pages={2–27} }'
chicago: Spath, Dieter, Jürgen Gausemeier, Roman Dumitrescu, Johannes Winter, Steffen
Steglich, and Marvin Drewel. “Digitalisation of Society.” In Handbook of Engineering
Systems Design, edited by Anja Maier, Josef Oehmen, and Pieter E. Vermaas,
2–27. Springer, Cham, 2021.
ieee: D. Spath, J. Gausemeier, R. Dumitrescu, J. Winter, S. Steglich, and M. Drewel,
“Digitalisation of Society,” in Handbook of Engineering Systems Design,
A. Maier, J. Oehmen, and P. E. Vermaas, Eds. Springer, Cham, 2021, pp. 2–27.
mla: Spath, Dieter, et al. “Digitalisation of Society.” Handbook of Engineering
Systems Design, edited by Anja Maier et al., Springer, Cham, 2021, pp. 2–27.
short: 'D. Spath, J. Gausemeier, R. Dumitrescu, J. Winter, S. Steglich, M. Drewel,
in: A. Maier, J. Oehmen, P.E. Vermaas (Eds.), Handbook of Engineering Systems
Design, Springer, Cham, 2021, pp. 2–27.'
date_created: 2021-11-16T14:09:25Z
date_updated: 2022-01-06T06:57:40Z
department:
- _id: '563'
editor:
- first_name: Anja
full_name: Maier, Anja
last_name: Maier
- first_name: Josef
full_name: Oehmen, Josef
last_name: Oehmen
- first_name: Pieter E.
full_name: Vermaas, Pieter E.
last_name: Vermaas
language:
- iso: eng
page: 2-27
publication: ' Handbook of Engineering Systems Design'
publication_status: published
publisher: Springer, Cham
status: public
title: Digitalisation of Society
type: book_chapter
user_id: '15782'
year: '2021'
...
---
_id: '21004'
abstract:
- lang: eng
text: 'Automated machine learning (AutoML) supports the algorithmic construction
and data-specific customization of machine learning pipelines, including the selection,
combination, and parametrization of machine learning algorithms as main constituents.
Generally speaking, AutoML approaches comprise two major components: a search
space model and an optimizer for traversing the space. Recent approaches have
shown impressive results in the realm of supervised learning, most notably (single-label)
classification (SLC). Moreover, first attempts at extending these approaches towards
multi-label classification (MLC) have been made. While the space of candidate
pipelines is already huge in SLC, the complexity of the search space is raised
to an even higher power in MLC. One may wonder, therefore, whether and to what
extent optimizers established for SLC can scale to this increased complexity,
and how they compare to each other. This paper makes the following contributions:
First, we survey existing approaches to AutoML for MLC. Second, we augment these
approaches with optimizers not previously tried for MLC. Third, we propose a benchmarking
framework that supports a fair and systematic comparison. Fourth, we conduct an
extensive experimental study, evaluating the methods on a suite of MLC problems.
We find a grammar-based best-first search to compare favorably to other optimizers.'
author:
- first_name: Marcel Dominik
full_name: Wever, Marcel Dominik
id: '33176'
last_name: Wever
orcid: ' https://orcid.org/0000-0001-9782-6818'
- first_name: Alexander
full_name: Tornede, Alexander
id: '38209'
last_name: Tornede
- first_name: Felix
full_name: Mohr, Felix
last_name: Mohr
- first_name: Eyke
full_name: Hüllermeier, Eyke
id: '48129'
last_name: Hüllermeier
citation:
ama: 'Wever MD, Tornede A, Mohr F, Hüllermeier E. AutoML for Multi-Label Classification:
Overview and Empirical Evaluation. IEEE Transactions on Pattern Analysis and
Machine Intelligence. Published online 2021:1-1. doi:10.1109/tpami.2021.3051276'
apa: 'Wever, M. D., Tornede, A., Mohr, F., & Hüllermeier, E. (2021). AutoML
for Multi-Label Classification: Overview and Empirical Evaluation. IEEE Transactions
on Pattern Analysis and Machine Intelligence, 1–1. https://doi.org/10.1109/tpami.2021.3051276'
bibtex: '@article{Wever_Tornede_Mohr_Hüllermeier_2021, title={AutoML for Multi-Label
Classification: Overview and Empirical Evaluation}, DOI={10.1109/tpami.2021.3051276},
journal={IEEE Transactions on Pattern Analysis and Machine Intelligence}, author={Wever,
Marcel Dominik and Tornede, Alexander and Mohr, Felix and Hüllermeier, Eyke},
year={2021}, pages={1–1} }'
chicago: 'Wever, Marcel Dominik, Alexander Tornede, Felix Mohr, and Eyke Hüllermeier.
“AutoML for Multi-Label Classification: Overview and Empirical Evaluation.” IEEE
Transactions on Pattern Analysis and Machine Intelligence, 2021, 1–1. https://doi.org/10.1109/tpami.2021.3051276.'
ieee: 'M. D. Wever, A. Tornede, F. Mohr, and E. Hüllermeier, “AutoML for Multi-Label
Classification: Overview and Empirical Evaluation,” IEEE Transactions on Pattern
Analysis and Machine Intelligence, pp. 1–1, 2021, doi: 10.1109/tpami.2021.3051276.'
mla: 'Wever, Marcel Dominik, et al. “AutoML for Multi-Label Classification: Overview
and Empirical Evaluation.” IEEE Transactions on Pattern Analysis and Machine
Intelligence, 2021, pp. 1–1, doi:10.1109/tpami.2021.3051276.'
short: M.D. Wever, A. Tornede, F. Mohr, E. Hüllermeier, IEEE Transactions on Pattern
Analysis and Machine Intelligence (2021) 1–1.
date_created: 2021-01-16T14:48:13Z
date_updated: 2022-01-06T06:54:42Z
department:
- _id: '34'
- _id: '355'
- _id: '26'
doi: 10.1109/tpami.2021.3051276
keyword:
- Automated Machine Learning
- Multi Label Classification
- Hierarchical Planning
- Bayesian Optimization
language:
- iso: eng
page: 1-1
project:
- _id: '1'
name: SFB 901
- _id: '3'
name: SFB 901 - Project Area B
- _id: '10'
name: SFB 901 - Subproject B2
- _id: '52'
name: Computing Resources Provided by the Paderborn Center for Parallel Computing
publication: IEEE Transactions on Pattern Analysis and Machine Intelligence
publication_identifier:
issn:
- 0162-8828
- 2160-9292
- 1939-3539
publication_status: published
status: public
title: 'AutoML for Multi-Label Classification: Overview and Empirical Evaluation'
type: journal_article
user_id: '5786'
year: '2021'
...
---
_id: '21005'
abstract:
- lang: eng
text: Data-parallel applications are developed using different data programming
models, e.g., MapReduce, partition/aggregate. These models represent diverse resource
requirements of application in a datacenter network, which can be represented
by the coflow abstraction. The conventional method of creating hand-crafted coflow
heuristics for admission or scheduling for different workloads is practically
infeasible. In this paper, we propose a deep reinforcement learning (DRL)-based
coflow admission scheme -- LCS -- that can learn an admission policy for a higher-level
performance objective, i.e., maximize successful coflow admissions, without manual
feature engineering. LCS is trained on a production trace, which has online coflow
arrivals. The evaluation results show that LCS is able to learn a reasonable admission
policy that admits more coflows than state-of-the-art Varys heuristic while meeting
their deadlines.
author:
- first_name: Asif
full_name: Hasnain, Asif
id: '63288'
last_name: Hasnain
- first_name: Holger
full_name: Karl, Holger
id: '126'
last_name: Karl
citation:
ama: 'Hasnain A, Karl H. Learning Coflow Admissions. In: IEEE INFOCOM 2021 -
IEEE Conference on Computer Communications Workshops (INFOCOM WKSHPS). IEEE
Communications Society. doi:10.1109/INFOCOMWKSHPS51825.2021.9484599'
apa: 'Hasnain, A., & Karl, H. (n.d.). Learning Coflow Admissions. In IEEE
INFOCOM 2021 - IEEE Conference on Computer Communications Workshops (INFOCOM WKSHPS).
Vancouver BC Canada: IEEE Communications Society. https://doi.org/10.1109/INFOCOMWKSHPS51825.2021.9484599'
bibtex: '@inproceedings{Hasnain_Karl, title={Learning Coflow Admissions}, DOI={10.1109/INFOCOMWKSHPS51825.2021.9484599},
booktitle={IEEE INFOCOM 2021 - IEEE Conference on Computer Communications Workshops
(INFOCOM WKSHPS)}, publisher={IEEE Communications Society}, author={Hasnain, Asif
and Karl, Holger} }'
chicago: Hasnain, Asif, and Holger Karl. “Learning Coflow Admissions.” In IEEE
INFOCOM 2021 - IEEE Conference on Computer Communications Workshops (INFOCOM WKSHPS).
IEEE Communications Society, n.d. https://doi.org/10.1109/INFOCOMWKSHPS51825.2021.9484599.
ieee: A. Hasnain and H. Karl, “Learning Coflow Admissions,” in IEEE INFOCOM 2021
- IEEE Conference on Computer Communications Workshops (INFOCOM WKSHPS), Vancouver
BC Canada.
mla: Hasnain, Asif, and Holger Karl. “Learning Coflow Admissions.” IEEE INFOCOM
2021 - IEEE Conference on Computer Communications Workshops (INFOCOM WKSHPS),
IEEE Communications Society, doi:10.1109/INFOCOMWKSHPS51825.2021.9484599.
short: 'A. Hasnain, H. Karl, in: IEEE INFOCOM 2021 - IEEE Conference on Computer
Communications Workshops (INFOCOM WKSHPS), IEEE Communications Society, n.d.'
conference:
end_date: 2021-05-13
location: Vancouver BC Canada
name: IEEE INFOCOM 2021 - IEEE Conference on Computer Communications
start_date: 2021-05-10
date_created: 2021-01-16T18:24:19Z
date_updated: 2022-01-06T06:54:42Z
ddc:
- '000'
department:
- _id: '75'
doi: 10.1109/INFOCOMWKSHPS51825.2021.9484599
keyword:
- Coflow scheduling
- Reinforcement learning
- Deadlines
language:
- iso: eng
main_file_link:
- url: https://ieeexplore.ieee.org/document/9484599
project:
- _id: '16'
name: SFB 901 - Subproject C4
- _id: '4'
name: SFB 901 - Project Area C
- _id: '1'
name: SFB 901
publication: IEEE INFOCOM 2021 - IEEE Conference on Computer Communications Workshops
(INFOCOM WKSHPS)
publication_status: accepted
publisher: IEEE Communications Society
related_material:
link:
- relation: confirmation
url: https://ieeexplore.ieee.org/document/9484599
status: public
title: Learning Coflow Admissions
type: conference
user_id: '63288'
year: '2021'
...
---
_id: '21084'
author:
- first_name: Julian
full_name: Werthmann, Julian
id: '50024'
last_name: Werthmann
citation:
ama: Werthmann J. Derandomization and Local Graph Problems in the Node-Capacitated
Clique.; 2021.
apa: Werthmann, J. (2021). Derandomization and Local Graph Problems in the Node-Capacitated
Clique.
bibtex: '@book{Werthmann_2021, title={Derandomization and Local Graph Problems in
the Node-Capacitated Clique}, author={Werthmann, Julian}, year={2021} }'
chicago: Werthmann, Julian. Derandomization and Local Graph Problems in the Node-Capacitated
Clique, 2021.
ieee: J. Werthmann, Derandomization and Local Graph Problems in the Node-Capacitated
Clique. 2021.
mla: Werthmann, Julian. Derandomization and Local Graph Problems in the Node-Capacitated
Clique. 2021.
short: J. Werthmann, Derandomization and Local Graph Problems in the Node-Capacitated
Clique, 2021.
date_created: 2021-01-26T13:58:14Z
date_updated: 2022-01-06T06:54:44Z
department:
- _id: '79'
language:
- iso: eng
project:
- _id: '1'
name: SFB 901
- _id: '2'
name: SFB 901 - Project Area A
- _id: '5'
name: SFB 901 - Subproject A1
status: public
supervisor:
- first_name: Christian
full_name: Scheideler, Christian
id: '20792'
last_name: Scheideler
title: Derandomization and Local Graph Problems in the Node-Capacitated Clique
type: mastersthesis
user_id: '15504'
year: '2021'
...
---
_id: '21092'
abstract:
- lang: eng
text: "Automated Machine Learning (AutoML) seeks to automatically find so-called
machine learning pipelines that maximize the prediction performance when being
used to train a model on a given dataset. One of the main and yet open challenges
in AutoML is an effective use of computational resources: An AutoML process involves
the evaluation of many candidate pipelines, which are costly but often ineffective
because they are canceled due to a timeout.\r\nIn this paper, we present an approach
to predict the runtime of two-step machine learning pipelines with up to one pre-processor,
which can be used to anticipate whether or not a pipeline will time out. Separate
runtime models are trained offline for each algorithm that may be used in a pipeline,
and an overall prediction is derived from these models. We empirically show that
the approach increases successful evaluations made by an AutoML tool while preserving
or even improving on the previously best solutions."
author:
- first_name: Felix
full_name: Mohr, Felix
last_name: Mohr
- first_name: Marcel Dominik
full_name: Wever, Marcel Dominik
id: '33176'
last_name: Wever
orcid: ' https://orcid.org/0000-0001-9782-6818'
- first_name: Alexander
full_name: Tornede, Alexander
id: '38209'
last_name: Tornede
- first_name: Eyke
full_name: Hüllermeier, Eyke
id: '48129'
last_name: Hüllermeier
citation:
ama: Mohr F, Wever MD, Tornede A, Hüllermeier E. Predicting Machine Learning Pipeline
Runtimes in the Context of Automated Machine Learning. IEEE Transactions on
Pattern Analysis and Machine Intelligence.
apa: Mohr, F., Wever, M. D., Tornede, A., & Hüllermeier, E. (n.d.). Predicting
Machine Learning Pipeline Runtimes in the Context of Automated Machine Learning.
IEEE Transactions on Pattern Analysis and Machine Intelligence.
bibtex: '@article{Mohr_Wever_Tornede_Hüllermeier, title={Predicting Machine Learning
Pipeline Runtimes in the Context of Automated Machine Learning}, journal={IEEE
Transactions on Pattern Analysis and Machine Intelligence}, publisher={IEEE},
author={Mohr, Felix and Wever, Marcel Dominik and Tornede, Alexander and Hüllermeier,
Eyke} }'
chicago: Mohr, Felix, Marcel Dominik Wever, Alexander Tornede, and Eyke Hüllermeier.
“Predicting Machine Learning Pipeline Runtimes in the Context of Automated Machine
Learning.” IEEE Transactions on Pattern Analysis and Machine Intelligence,
n.d.
ieee: F. Mohr, M. D. Wever, A. Tornede, and E. Hüllermeier, “Predicting Machine
Learning Pipeline Runtimes in the Context of Automated Machine Learning,” IEEE
Transactions on Pattern Analysis and Machine Intelligence.
mla: Mohr, Felix, et al. “Predicting Machine Learning Pipeline Runtimes in the Context
of Automated Machine Learning.” IEEE Transactions on Pattern Analysis and Machine
Intelligence, IEEE.
short: F. Mohr, M.D. Wever, A. Tornede, E. Hüllermeier, IEEE Transactions on Pattern
Analysis and Machine Intelligence (n.d.).
date_created: 2021-01-27T13:45:52Z
date_updated: 2022-01-06T06:54:45Z
department:
- _id: '34'
- _id: '355'
- _id: '26'
language:
- iso: eng
project:
- _id: '1'
name: SFB 901
- _id: '3'
name: SFB 901 - Project Area B
- _id: '10'
name: SFB 901 - Subproject B2
- _id: '52'
name: Computing Resources Provided by the Paderborn Center for Parallel Computing
publication: IEEE Transactions on Pattern Analysis and Machine Intelligence
publication_status: accepted
publisher: IEEE
status: public
title: Predicting Machine Learning Pipeline Runtimes in the Context of Automated Machine
Learning
type: journal_article
user_id: '5786'
year: '2021'
...
---
_id: '21197'
author:
- first_name: Ma
full_name: Mengshi, Ma
last_name: Mengshi
citation:
ama: Mengshi M. Self-Stabilizing Arrow Protocol on Spanning Trees with a Low
Diameter.; 2021.
apa: Mengshi, M. (2021). Self-stabilizing Arrow Protocol on Spanning Trees with
a Low Diameter.
bibtex: '@book{Mengshi_2021, title={Self-stabilizing Arrow Protocol on Spanning
Trees with a Low Diameter}, author={Mengshi, Ma}, year={2021} }'
chicago: Mengshi, Ma. Self-Stabilizing Arrow Protocol on Spanning Trees with
a Low Diameter, 2021.
ieee: M. Mengshi, Self-stabilizing Arrow Protocol on Spanning Trees with a Low
Diameter. 2021.
mla: Mengshi, Ma. Self-Stabilizing Arrow Protocol on Spanning Trees with a Low
Diameter. 2021.
short: M. Mengshi, Self-Stabilizing Arrow Protocol on Spanning Trees with a Low
Diameter, 2021.
date_created: 2021-02-09T07:09:22Z
date_updated: 2022-01-06T06:54:49Z
department:
- _id: '79'
language:
- iso: eng
project:
- _id: '1'
name: SFB 901
- _id: '2'
name: SFB 901 - Project Area A
- _id: '4'
name: SFB 901 - Project Area C
- _id: '5'
name: SFB 901 - Subproject A1
- _id: '13'
name: SFB 901 - Subproject C1
status: public
supervisor:
- first_name: Christian
full_name: Scheideler, Christian
id: '20792'
last_name: Scheideler
title: Self-stabilizing Arrow Protocol on Spanning Trees with a Low Diameter
type: bachelorsthesis
user_id: '15504'
year: '2021'
...
---
_id: '21337'
abstract:
- lang: eng
text: "We present a flexible trust region descend algorithm for unconstrained and\r\nconvexly
constrained multiobjective optimization problems. It is targeted at\r\nheterogeneous
and expensive problems, i.e., problems that have at least one\r\nobjective function
that is computationally expensive. The method is\r\nderivative-free in the sense
that neither need derivative information be\r\navailable for the expensive objectives
nor are gradients approximated using\r\nrepeated function evaluations as is the
case in finite-difference methods.\r\nInstead, a multiobjective trust region approach
is used that works similarly to\r\nits well-known scalar pendants. Local surrogate
models constructed from\r\nevaluation data of the true objective functions are
employed to compute\r\npossible descent directions. In contrast to existing multiobjective
trust\r\nregion algorithms, these surrogates are not polynomial but carefully\r\nconstructed
radial basis function networks. This has the important advantage\r\nthat the number
of data points scales linearly with the parameter space\r\ndimension. The local
models qualify as fully linear and the corresponding\r\ngeneral scalar framework
is adapted for problems with multiple objectives.\r\nConvergence to Pareto critical
points is proven and numerical examples\r\nillustrate our findings."
article_number: '31'
author:
- first_name: Manuel Bastian
full_name: Berkemeier, Manuel Bastian
id: '51701'
last_name: Berkemeier
- first_name: Sebastian
full_name: Peitz, Sebastian
id: '47427'
last_name: Peitz
orcid: 0000-0002-3389-793X
citation:
ama: Berkemeier MB, Peitz S. Derivative-Free Multiobjective Trust Region Descent
Method Using Radial Basis Function Surrogate Models. Mathematical and Computational
Applications. 2021;26(2). doi:10.3390/mca26020031
apa: Berkemeier, M. B., & Peitz, S. (2021). Derivative-Free Multiobjective Trust
Region Descent Method Using Radial Basis Function Surrogate Models. Mathematical
and Computational Applications, 26(2). https://doi.org/10.3390/mca26020031
bibtex: '@article{Berkemeier_Peitz_2021, title={Derivative-Free Multiobjective Trust
Region Descent Method Using Radial Basis Function Surrogate Models}, volume={26},
DOI={10.3390/mca26020031}, number={231},
journal={Mathematical and Computational Applications}, author={Berkemeier, Manuel
Bastian and Peitz, Sebastian}, year={2021} }'
chicago: Berkemeier, Manuel Bastian, and Sebastian Peitz. “Derivative-Free Multiobjective
Trust Region Descent Method Using Radial Basis Function Surrogate Models.” Mathematical
and Computational Applications 26, no. 2 (2021). https://doi.org/10.3390/mca26020031.
ieee: M. B. Berkemeier and S. Peitz, “Derivative-Free Multiobjective Trust Region
Descent Method Using Radial Basis Function Surrogate Models,” Mathematical
and Computational Applications, vol. 26, no. 2, 2021.
mla: Berkemeier, Manuel Bastian, and Sebastian Peitz. “Derivative-Free Multiobjective
Trust Region Descent Method Using Radial Basis Function Surrogate Models.” Mathematical
and Computational Applications, vol. 26, no. 2, 31, 2021, doi:10.3390/mca26020031.
short: M.B. Berkemeier, S. Peitz, Mathematical and Computational Applications 26
(2021).
date_created: 2021-03-01T10:46:48Z
date_updated: 2022-01-06T06:54:55Z
department:
- _id: '101'
- _id: '655'
doi: 10.3390/mca26020031
intvolume: ' 26'
issue: '2'
language:
- iso: eng
main_file_link:
- open_access: '1'
url: https://www.mdpi.com/2297-8747/26/2/31/pdf
oa: '1'
publication: Mathematical and Computational Applications
publication_identifier:
eissn:
- 2297-8747
publication_status: published
status: public
title: Derivative-Free Multiobjective Trust Region Descent Method Using Radial Basis
Function Surrogate Models
type: journal_article
user_id: '47427'
volume: 26
year: '2021'
...
---
_id: '21378'
author:
- first_name: Rita
full_name: Hartel, Rita
id: '14961'
last_name: Hartel
- first_name: Alexander
full_name: Dunst, Alexander
last_name: Dunst
citation:
ama: 'Hartel R, Dunst A. An OCR Pipeline and Semantic Text Analysis for Comics.
In: MANPU 2020: The 4th International Workshop on CoMics ANalysis, Processing
and Understanding@Pattern Recognition. ICPR International Workshops and Challenges.
Cham; 2021. doi:10.1007/978-3-030-68780-9_19'
apa: 'Hartel, R., & Dunst, A. (2021). An OCR Pipeline and Semantic Text Analysis
for Comics. In MANPU 2020: The 4th International Workshop on coMics ANalysis,
Processing and Understanding@Pattern Recognition. ICPR International Workshops
and Challenges. Cham. https://doi.org/10.1007/978-3-030-68780-9_19'
bibtex: '@inproceedings{Hartel_Dunst_2021, place={Cham}, title={An OCR Pipeline
and Semantic Text Analysis for Comics}, DOI={10.1007/978-3-030-68780-9_19},
booktitle={MANPU 2020: The 4th International Workshop on coMics ANalysis, Processing
and Understanding@Pattern Recognition. ICPR International Workshops and Challenges},
author={Hartel, Rita and Dunst, Alexander}, year={2021} }'
chicago: 'Hartel, Rita, and Alexander Dunst. “An OCR Pipeline and Semantic Text
Analysis for Comics.” In MANPU 2020: The 4th International Workshop on CoMics
ANalysis, Processing and Understanding@Pattern Recognition. ICPR International
Workshops and Challenges. Cham, 2021. https://doi.org/10.1007/978-3-030-68780-9_19.'
ieee: 'R. Hartel and A. Dunst, “An OCR Pipeline and Semantic Text Analysis for Comics,”
in MANPU 2020: The 4th International Workshop on coMics ANalysis, Processing
and Understanding@Pattern Recognition. ICPR International Workshops and Challenges,
2021.'
mla: 'Hartel, Rita, and Alexander Dunst. “An OCR Pipeline and Semantic Text Analysis
for Comics.” MANPU 2020: The 4th International Workshop on CoMics ANalysis,
Processing and Understanding@Pattern Recognition. ICPR International Workshops
and Challenges, 2021, doi:10.1007/978-3-030-68780-9_19.'
short: 'R. Hartel, A. Dunst, in: MANPU 2020: The 4th International Workshop on CoMics
ANalysis, Processing and Understanding@Pattern Recognition. ICPR International
Workshops and Challenges, Cham, 2021.'
date_created: 2021-03-04T12:35:22Z
date_updated: 2022-01-06T06:54:57Z
department:
- _id: '69'
doi: 10.1007/978-3-030-68780-9_19
language:
- iso: eng
place: Cham
publication: 'MANPU 2020: The 4th International Workshop on coMics ANalysis, Processing
and Understanding@Pattern Recognition. ICPR International Workshops and Challenges'
publication_identifier:
isbn:
- '9783030687793'
- '9783030687809'
issn:
- 0302-9743
- 1611-3349
publication_status: published
status: public
title: An OCR Pipeline and Semantic Text Analysis for Comics
type: conference
user_id: '14961'
year: '2021'
...
---
_id: '21535'
author:
- first_name: Viktor
full_name: Bengs, Viktor
last_name: Bengs
- first_name: Róbert
full_name: Busa-Fekete, Róbert
last_name: Busa-Fekete
- first_name: Adil
full_name: El Mesaoudi-Paul, Adil
last_name: El Mesaoudi-Paul
- first_name: Eyke
full_name: Hüllermeier, Eyke
last_name: Hüllermeier
citation:
ama: 'Bengs V, Busa-Fekete R, El Mesaoudi-Paul A, Hüllermeier E. Preference-based
Online Learning with Dueling Bandits: A Survey. Journal of Machine Learning
Research. 2021;22(7):1-108.'
apa: 'Bengs, V., Busa-Fekete, R., El Mesaoudi-Paul, A., & Hüllermeier, E. (2021).
Preference-based Online Learning with Dueling Bandits: A Survey. Journal of
Machine Learning Research, 22(7), 1–108.'
bibtex: '@article{Bengs_Busa-Fekete_El Mesaoudi-Paul_Hüllermeier_2021, title={Preference-based
Online Learning with Dueling Bandits: A Survey}, volume={22}, number={7}, journal={Journal
of Machine Learning Research}, author={Bengs, Viktor and Busa-Fekete, Róbert and
El Mesaoudi-Paul, Adil and Hüllermeier, Eyke}, year={2021}, pages={1–108} }'
chicago: 'Bengs, Viktor, Róbert Busa-Fekete, Adil El Mesaoudi-Paul, and Eyke Hüllermeier.
“Preference-Based Online Learning with Dueling Bandits: A Survey.” Journal
of Machine Learning Research 22, no. 7 (2021): 1–108.'
ieee: 'V. Bengs, R. Busa-Fekete, A. El Mesaoudi-Paul, and E. Hüllermeier, “Preference-based
Online Learning with Dueling Bandits: A Survey,” Journal of Machine Learning
Research, vol. 22, no. 7, pp. 1–108, 2021.'
mla: 'Bengs, Viktor, et al. “Preference-Based Online Learning with Dueling Bandits:
A Survey.” Journal of Machine Learning Research, vol. 22, no. 7, 2021,
pp. 1–108.'
short: V. Bengs, R. Busa-Fekete, A. El Mesaoudi-Paul, E. Hüllermeier, Journal of
Machine Learning Research 22 (2021) 1–108.
date_created: 2021-03-18T11:15:38Z
date_updated: 2022-01-06T06:55:03Z
department:
- _id: '34'
- _id: '7'
- _id: '355'
intvolume: ' 22'
issue: '7'
language:
- iso: eng
page: 1-108
publication: Journal of Machine Learning Research
quality_controlled: '1'
status: public
title: 'Preference-based Online Learning with Dueling Bandits: A Survey'
type: journal_article
user_id: '76599'
volume: 22
year: '2021'
...
---
_id: '21543'
abstract:
- lang: eng
text: "Services often consist of multiple chained components such as microservices
in a service mesh, or machine learning functions in a pipeline. Providing these
services requires online coordination including scaling the service, placing instance
of all components in the network, scheduling traffic to these instances, and routing
traffic through the network. Optimized service coordination is still a hard problem
due to many influencing factors such as rapidly arriving user demands and limited
node and link capacity. Existing approaches to solve the problem are often built
on rigid models and assumptions, tailored to specific scenarios. If the scenario
changes and the assumptions no longer hold, they easily break and require manual
adjustments by experts. Novel self-learning approaches using deep reinforcement
learning (DRL) are promising but still have limitations as they only address simplified
versions of the problem and are typically centralized and thus do not scale to
practical large-scale networks.\r\n\r\nTo address these issues, we propose a distributed
self-learning service coordination approach using DRL. After centralized training,
we deploy a distributed DRL agent at each node in the network, making fast coordination
decisions locally in parallel with the other nodes. Each agent only observes its
direct neighbors and does not need global knowledge. Hence, our approach scales
independently from the size of the network. In our extensive evaluation using
real-world network topologies and traffic traces, we show that our proposed approach
outperforms a state-of-the-art conventional heuristic as well as a centralized
DRL approach (60% higher throughput on average) while requiring less time per
online decision (1 ms)."
author:
- first_name: Stefan Balthasar
full_name: Schneider, Stefan Balthasar
id: '35343'
last_name: Schneider
orcid: 0000-0001-8210-4011
- first_name: Haydar
full_name: Qarawlus, Haydar
last_name: Qarawlus
- first_name: Holger
full_name: Karl, Holger
id: '126'
last_name: Karl
citation:
ama: 'Schneider SB, Qarawlus H, Karl H. Distributed Online Service Coordination
Using Deep Reinforcement Learning. In: IEEE International Conference on Distributed
Computing Systems (ICDCS). IEEE; 2021.'
apa: 'Schneider, S. B., Qarawlus, H., & Karl, H. (2021). Distributed Online
Service Coordination Using Deep Reinforcement Learning. In IEEE International
Conference on Distributed Computing Systems (ICDCS). Washington, DC, USA:
IEEE.'
bibtex: '@inproceedings{Schneider_Qarawlus_Karl_2021, title={Distributed Online
Service Coordination Using Deep Reinforcement Learning}, booktitle={IEEE International
Conference on Distributed Computing Systems (ICDCS)}, publisher={IEEE}, author={Schneider,
Stefan Balthasar and Qarawlus, Haydar and Karl, Holger}, year={2021} }'
chicago: Schneider, Stefan Balthasar, Haydar Qarawlus, and Holger Karl. “Distributed
Online Service Coordination Using Deep Reinforcement Learning.” In IEEE International
Conference on Distributed Computing Systems (ICDCS). IEEE, 2021.
ieee: S. B. Schneider, H. Qarawlus, and H. Karl, “Distributed Online Service Coordination
Using Deep Reinforcement Learning,” in IEEE International Conference on Distributed
Computing Systems (ICDCS), Washington, DC, USA, 2021.
mla: Schneider, Stefan Balthasar, et al. “Distributed Online Service Coordination
Using Deep Reinforcement Learning.” IEEE International Conference on Distributed
Computing Systems (ICDCS), IEEE, 2021.
short: 'S.B. Schneider, H. Qarawlus, H. Karl, in: IEEE International Conference
on Distributed Computing Systems (ICDCS), IEEE, 2021.'
conference:
location: Washington, DC, USA
name: IEEE International Conference on Distributed Computing Systems (ICDCS)
date_created: 2021-03-18T17:15:47Z
date_updated: 2022-01-06T06:55:04Z
ddc:
- '000'
department:
- _id: '75'
file:
- access_level: open_access
content_type: application/pdf
creator: stschn
date_created: 2021-03-18T17:12:56Z
date_updated: 2021-03-18T17:12:56Z
file_id: '21544'
file_name: public_author_version.pdf
file_size: 606321
relation: main_file
title: Distributed Online Service Coordination Using Deep Reinforcement Learning
file_date_updated: 2021-03-18T17:12:56Z
has_accepted_license: '1'
keyword:
- network management
- service management
- coordination
- reinforcement learning
- distributed
language:
- iso: eng
oa: '1'
project:
- _id: '1'
name: SFB 901
- _id: '4'
name: SFB 901 - Project Area C
- _id: '16'
name: SFB 901 - Subproject C4
publication: IEEE International Conference on Distributed Computing Systems (ICDCS)
publisher: IEEE
related_material:
link:
- relation: software
url: https://github.com/ RealVNF/distributed-drl-coordination
status: public
title: Distributed Online Service Coordination Using Deep Reinforcement Learning
type: conference
user_id: '35343'
year: '2021'
...